CMRIT Hyderabad Reviews on Placements, Faculty and Facilities

Students often choose B. Tech courses due to a combination of passion for technology, the wide array of career opportunities it offers, and the chance to contribute to innovation and creativity. The practical problem-solving skills acquired during the course not only prepare them for diverse professional challenges but also contribute to their overall analytical abilities. The faculty-to-student ratio can vary among institutions and departments, for example, a class consists of 75 classes. The timing and difficulty of term exams can vary each academic year and are subject to the policies of the institute and specific departments.

I took this course because it is the most growing sector right now and people are getting into the software sector right now. the faculty is moderate and you have to give your time personally, the exams were timely and it was not tough to pass the exams.

We have good placement opportunities. CMR is meant for placements. Every year almost all people get placed except people who go to MS for higher studies. I plan to do my master's in gate college

Campus life is vibrant, with a thriving social scene, diverse clubs catering to interests, and modern infrastructure that enhances the overall college experience. Campus life is vibrant, with a thriving social scene, diverse clubs catering to interests, and modern infrastructure that enhances the overall college experience.

I chose this because the future is all about artificial intelligence and machine learning technology. It is very advanced. The faculty is good so far until now. Faculty did M.Tech in their respective subjects.

The students are eligible for placements from the 6th semester, they are provided with training and support from the Training and Placements branch. The most visited companies are Google, Amazon, Infosys, etc. The average package provided is 7 LPA.

I choose BTech because I want to become a software Engineer. The faculty ratio is 1:20, the faculty was friendly nature. The faculty qualification was a Master in technology and the teaching method was too good.

I chose this because the future is all about artificial intelligence and machine learning technology. It is very advanced. The faculty is good so far until now. Faculty did M.Tech in their respective subjects.

They start to give us training from 2nd year and placements will start from 3rd year 2nd sem to the completion of 4th year. The placements are good. They conduct drives, competitions, exams, hackathons, etc. The average package is also good.

The faculty and the number of students are equal here for every 5 members there is a mentor who will be taking care of the student's overall performance. The teaching method used here is also very enhanced learning through which students can easily understand the topics.